The team are heading to Slovenia on Monday to attend the biannual #syntaxfest

DM to meet and discuss #LSTM architectures and the application of the CoNLL-U standard to #lowresourcelanguages and #indigenouslanguage

#nolanguageleftbehind

syntaxfest.github.io/syntaxfest25/

When we say we help people understand information and be heard, whatever language they speak...

🤷🏿 We REALLY mean it.

#language #translation #lowresourcelanguages #holyairball

Innovating Speech Tech for Smaller Languages New PhD position combining AI and bilingual speech research in the Netherlands

🎓 Open PhD Position: Speech Tech for Minority Languages

Working on Frisian-Dutch bilingual speech + AI at Fryske Akademy/Campus Fryslân. Fully funded, 4 years, starts Sept 2025.

More info ⬇️
open.substack.com/pub/voicetec...

#SpeechTech #PhD #LowResourceLanguages #AcademicJobs #AcademicSky

Multilingual AI Gets Smarter: Introducing Xmodel-1.5 Researchers at Xiaoduo AI unveiled Xmodel-1.5, a 1-billion-parameter multilingual large language model, excelling in low-resource languages like Thai and Arabic while highlighting avenues for improvem...

Multilingual AI Gets Smarter: Introducing Xmodel-1.5 🌏🧠🚀 www.azoai.com/news/2025010... #AI #Multilingual #LanguageModel #NLP #Innovation #LowResourceLanguages #Thai #Arabic #Xmodel #AIResearch

Using large language models for extracting and pre-annotating texts on mental health from noisy data in a low-resource language Recent advancements in large language models (LLMs) have opened new possibilities for developing conversational agents (CAs) in various subfields of mental healthcare. However, this progress is…

New research leverages large language models (LLMs) to classify mental health texts in low-resource languages. Fine-tuning boosts accuracy for tools like conversational agents. Could this improve global access to mental health support? 🌍🧠 #AI #MentalHealthTech #LowResourceLanguages